Join to apply for the Data Scientist (IT) / Contractor role at Free-Work UK
Join to apply for the Data Scientist (IT) / Contractor role at Free-Work UK
Data Scientist
6 Month contract initially
Based: Hybrid - Maximum of 3 days p/w - Wokingham
Rate: £Market rates p/d (via Umbrella company)
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a highly experienced Data Scientist to join the team.
We are seeking a skilled and experienced Data Scientist with expertise data scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making.
Key
Responsibilities
* Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements.
* Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data.
* Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data.
* Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects.
* Communicate findings and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner.
* Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques.
* Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis.
* Contribute to the development and improvement of data science methodologies, tools, and frameworks.
Key Skills & Experience
* The candidate should also have a strong understanding of data scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience
* Proven experience in time series analysis and forecasting, preferably in a commercial or industrial setting.
* Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling.
* Experience with machine learning algorithms.
* Proficient in data visualization techniques to effectively communicate insights from time series data.
* Strong problem-solving skills and ability to handle complex and unstructured data.
* Must be proficient in Agile methodologies, Excellent communication, and collaboration skills with the ability to collaborate effectively in fast-paced, cross-functional teams to deliver data-driven solutions iterative
* Familiarity with SQL and experience in working with relational databases.
* Knowledge of data pre-processing techniques, feature engineering, and model evaluation metrics.
This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies,
LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.
Award Winning
LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Human Resources Services
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